2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
RefineSVG: Visual Feedback-Driven Reinforcement Learning for Image-to-SVG Generation
Shaobo Liu, Feiqiao Mao, Shuaishuai Zhou +4
We propose RefineSVG, a single-step closed-loop visual feedback framework that enables multimodal large language models (MLLMs) to perform high-fidelity image-to-SVG generation thr…
cs.CL2026★ 2 cited
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…